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Language Identification in Short Utterances Using Long Short-Term Memory (LSTM) Recurrent Neural Networks
Long Short Term Memory (LSTM) Recurrent Neural Networks (RNNs) have recently outperformed other state-of-the-art approaches, such as i-vector and Deep Neural Networks (DNNs), in automatic Language Identification (LID), particularly when dealing with very short utterances (∼3s). In this contribution...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4732772/ https://www.ncbi.nlm.nih.gov/pubmed/26824467 http://dx.doi.org/10.1371/journal.pone.0146917 |